Victorian Institute of Technology: Cloud Data Backup Research Proposal

This research proposal explores the crucial role of cloud computing in data backup and disaster recovery for organizations. It begins with an abstract summarizing the project's focus on cloud platforms and their advantages in data storage, particularly in the context of data recovery and backup. The proposal outlines the research's objectives, which include understanding the benefits and prerequisites of cloud computing implementation in industries, and the impact of cyber-attacks. The research delves into the importance of data security, challenges in aligning cloud computing with existing systems, and efficient data backup techniques. The background section highlights the widespread adoption of cloud computing and its ability to share resources globally. The proposal aims to discuss techniques for enhancing backup and recovery capabilities using cloud resources, and to address the primary requirements for backing up data and the techniques used in cloud computing for performing data backup and recovery efficiently. The research methodology involves a qualitative approach, utilizing peer-reviewed journals, government articles, and data from various organizations. The research design involves accessing peer-reviewed journals and articles. The expected contribution of this research is to help organizations make informed decisions about cloud computing implementation, focusing on data backup and recovery techniques, and addressing challenges in cloud service usage. The proposal includes a proposed timeline and references relevant literature.

MITS Advanced Research Techniques
Research Proposal
Candidate:
Student Name
Higher Education Department
Victorian Institute of Technology
Proposed Title:
Cloud computing in data backup and data recovery
Abstract
In recent discussions, the cloud platforms have formed a major area of discussion
and thus have become one of the most widely discussed topics within research areas.
Wide the broad suite of advantages supported by the platform, the cloud has become
one of the primary areas of use within the data storage market as considered by
leading organizations. Based on focusing on the aspects of data storage, the data
recovery and data backup have also formed integral parts by associating them with
the cloud platforms. The rise in the number of cyber-attacks and data breaches
within the cloud platforms have also raised concerns for incorporating security
systems within the cloud platforms. Every organization would require an efficient
business continuity plan that would be backed up with high-end data storage and
security systems. Hence, businesses and industries using the cloud platform have
also focused on the implementation of efficient form of security measures during
storing useful data records and files over the cloud platform. However, along with
the importance of data backup and recovery, different other aspects should also be
considered before the full implementation of cloud computing facility for industries.
The discussion within the research would thus lay emphasis on the wide ranging
benefits and pre-requirements based on the implementation and use of cloud
computing platforms within the industries. Thus, the primary aim of conducting the
research is based on presenting a brief overview of the techniques to be used during
data backup and performing disaster recovery within the cloud environment.
Outline of the Proposed Research
The proposed research focuses on the impacts made by cloud computing in organizations. In recent
times, different risks approach towards a project. Risk in terms of cyber-attacks are considered as one
of the major forms of attacks, which pose towards organization. Moreover, with this risk, organizations

face major challenges in securing their data [3]. Hence, the proposed research focuses on the
importance of cloud computing, which would prove to be highly helpful towards securing the
organization and their underlined data.
The research would also underline the challenges faced by organizations with aligning cloud
computing usage with their existing systems. Hence, the research would also discuss the ways in which
organizations would be able to mitigate the challenges while incurring more benefits [1]. However, the
other primary aspect that would need to be discovered is based on understanding the efficient ways in
which data backup could be securely be performed over the cloud platform.
Background
Cloud Computing has become one of the popular technological solutions that has been adopted by
several organizations and businesses. The technology supports different industries and organizations
with their large scale computing resources and ability to share worldwide resources. Different users
making use of the varied cloud resources and services from all over the world [2]. In this discussion,
which focuses on the aspect of backup and recovery of data within the cloud platforms defines the
process of setting up of data systems in such a manner that there would be an easy flow of information
across all integrated platforms. Backing up of data would primarily require archiving of computer data
and replicating them and hence it is easy for getting access to such data in case of data deletion.
Purpose
The primary purpose of conducting this research is to envision the use of cloud computing for
performing data backup and recovery for organizations.
The goal set forward for the research is to discuss the various techniques approached by the
organizations to increase their backup and recovery capability of data using cloud computing
resources.
Rationale
The research is being conducted for understanding the primary requirements for backing data and the
techniques in cloud computing for performing data backup and recovering them efficiently [5]. Based
on the understanding developed from this research, it can be discussed about the various benefits
incurred by the organization in the future times.
Research Topic and central research question
The topic of the research focuses on the impact of cloud computing that would be formed over the
aspects of data backup and recovery of important data as required by the organization [8]. In this
research, the primary focus would be put on understanding the ways in which data backup could be
highly be helpful for organization in reducing the fatal chances of errors being happening over the
systems [6]. Thus, the research topic helps in presenting a clear over view over the problem being
faced by organizations and thus proposes a solution for the organization.

Methodological Approach
The research being conducted focuses on the impact of cloud computing over the organizations based
on securing their data. In this research, the qualitative research methodology would be followed in
which research would be conducted by focusing over different peer-reviewed journal [4]. Other forms
of research would focus on government articles, books and data gathered from the articles as submitted
by different organizations based on the benefits gathered by them.
Research Design
During preparing the research design for the research, access to peer-reviewed journals and articles
would need to be gained. In this research, official websites of different organizations would need to be
reviewed and focus would be put on discussing about the key benefits that have been incurred by them
with the impact of cloud computing [7]. The data shared from organizations and the review over the
articles would help in conducting a fundamental research over the proper designing of the research
areas.
Contribution
Based on the completion of the research, it would help organizations to decide over the implementation
perspectives for cloud computing within their organization. This research would focus on the key areas
such as techniques that would be used for performing data backup and recovery over the cloud
platforms. Moreover, the research would also discuss the ways in which companies could mitigate the
challenges faced by organizations in implementing cloud solutions while targeting towards better
enhancement of usage of cloud services.

Proposed Time Schedule
The Proposed Timeline for conducting the research is as follows:
ID Outline
Number
Task
Mode
Task Name Duration Start Finish
0 0 Research Proposal on Cloud
Computing
52 days Thu
02-04-20
Fri
12-06-20
1 1 Defining the Research
Proposal
20 days Thu
02-04-20
Wed
29-04-20
2 1.1 Defining the research
question
5 days Thu
02-04-20
Wed
08-04-20
3 1.2 Preparing the Abstract 5 days Thu
09-04-20
Wed
15-04-20
4 1.3 Writing the Full Proposal 10 days Thu
16-04-20
Wed
29-04-20
5 2 Conducting the Research
Paper
31 days Thu
30-04-20
Thu
11-06-20
6 2.1 Preparing a full abstract 2 days Thu
30-04-20
Fri 01-05-20
7 2.2 Detailing the introduction 4 days Mon
04-05-20
Thu
07-05-20
8 2.3 Conducting a Literature
Review
10 days Fri 08-05-20 Thu
21-05-20
9 2.3.1 Preparing a Concept
Map
5 days Fri 08-05-20 Thu
14-05-20
10 2.3.2 Defining the full
Literature Review
5 days Fri 15-05-20 Thu
21-05-20
11 2.4 Defining the
Methodology
10 days Fri 22-05-20 Thu
04-06-20
12 2.4.1 Preparing the first page 5 days Fri 22-05-20 Thu
28-05-20
13 2.4.2 Preparing the
Methodology section
5 days Fri 29-05-20 Thu
04-06-20
14 2.5 Organizing the entire
paper and submission
5 days Fri 05-06-20 Thu
11-06-20
15 3 Presentation 1 day Fri 12-06-20 Fri 12-06-20
S W S T M F T S W S T M F T S W S T M F T
22 Mar '20 05 Apr '20 19 Apr '20 03 May '20 17 May '20 31 May '20 14 Jun '20
(Figure 1: The proposed research timeline)
(Source: Created by author)

Literature References
[1] M.M. Alshammari, A.A. Alwan, A. Nordin and A.Z. Abualkishik, Disaster recovery with minimum
replica plan for reliability checking in multi-cloud. Procedia computer science, 130, pp.247-254, 2018.
[2] P.S. Challagidad, A.S. Dalawai and M.N. Birje, Efficient and Reliable Data Recovery Technique in
Cloud Computing. Internet of Things and Cloud Computing, 5(5-1), 2017.
[3] V. Chang, Towards a Big Data system disaster recovery in a Private Cloud. Ad Hoc Networks, 35,
pp.65-82, 2015.
[4] P.J. Chuang and C.H. Wang, An Efficient Group-based Data Backup and Recovery Scheme in
Cloud Computing Systems. Journal of Information Science & Engineering, 33(1), 2017.
[5] P.C. Neves, B.R. Schmerl, J. Cámara and J. Bernardino, Big Data in Cloud Computing: Features
and Issues. In IoTBD (pp. 307-314), 2016, January.
[6] R. Shaikh and M. Sasikumar Data Classification for achieving Security in cloud
computing. Procedia computer science, 45(C), pp.493-498, 2015.
[7] N. Subramanian and A. Jeyaraj, Recent security challenges in cloud computing. Computers &
Electrical Engineering, 71, pp.28-42, 2018.
[8] S.U. Vishwakarma and P.D. Soni, Cloud Mirroring: A Technique of Data Recovery. International
Journal of Current Engineering and Technology, 5(2), 2015.